Check index freshness
Freshness compares the indexed revision with the source revision or update watermark. Wall-clock uptime does not establish that new documents were ingested.
Understand the pattern
Freshness compares the indexed revision with the source revision or update watermark. Wall-clock uptime does not establish that new documents were ingested.
Interpret the evidence
Investigate the three-revision ingestion lag before answering from the index.
A tempting mistake
An index with long uptime must be fresh.
All names, measurements, prices, versions, and thresholds in this exercise are fictional training data. The evidence supports this bounded scenario, not a claim about a live provider.
Worked example and expected result
$ cat /opt/ai-lab/cases/aiops-retrieval-embeddings-006.json{
"fixture": "Fictional training data; not a live measurement.",
"source_watermark": 42,
"index_watermark": 39,
"lag_revisions": 3
}Exit status: 0. The command completed successfully in the training fixture.
$ jq .lag_revisions /opt/ai-lab/cases/aiops-retrieval-embeddings-006.json3
Exit status: 0. The command completed successfully in the training fixture.
$ printf '%s\n' 'refresh-three-revisions' > /home/learner/lab/aiops-retrieval-embeddings-006-decision.txt(no output; exit 0)
Exit status: 0. The command completed successfully in the training fixture.
Explain it
Apply it elsewhere
Keep the momentum.
Complete the lab, then explain and apply the pattern.
Next: Review retrieval resultsTry an incident drillAnonymous lesson and mastery progress lasts for this session. Sign in to keep synced lesson XP between sessions; mastery stays device-local. No speed bonus, lost lives, or hint penalties.
Keep learning
- 01Inspect index statusAn index status must be read with document counts and readiness. A process being up does not guarantee that the index contains the expected records.Practice
- 02Review retrieval resultsRetrieval results should be judged for relevance, coverage and source quality. A ranking position is not a guarantee that a passage supports the answer.Practice
- 03Compare similarity scoresSimilarity scores are ranking signals under a specific embedding and metric setup. They are not calibrated probabilities of truth or correctness.Practice